Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback

Significance The absence of a quantitative monitoring method that can assess the health status of vocal folds increases the potential risk of incurring a vocal disorder. A closed-loop network system that combines a skin-interfaced wireless sensor technology and a haptic feedback module enables continuous monitoring of vocal fold activities related to vocal fatigue. Data analysis using real-time machine learning techniques separates and quantifies vocal dosimetry associated with speaking and singing, without confounding artifacts from ambient sounds, along with a breadth of information on cardiac and respiratory activities and overall physical exertion. This technology approach can help to guide healthy behaviors in vocal usage across a range of affected populations, from singers and teachers to coaches and telemarketers.